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基于暂态混沌神经网络的组播路由算法 被引量：4

A Multicast Routing Algorithm Based on Transient Chaotic Neural Networks
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摘要 讨论了高速包交换计算机网络中具有端到端时延的组播路由问题 首先给出了这类问题的网络模型及其数学描述 ,然后提出了基于暂态混沌神经网络的组播路由算法 实验结果表明 ,该算法能够快速有效地实现组播路由优化 。 The problem of multicast routing with end to end delay constraints in high speed packet switched networks is studied A multicast network model and its mathematical model are discussed, and then a new algorithm based on transient chaotic neural networks is proposed The results show the proposed algorithm is both fast and effective to achieve multicast routing, and more optimal in both computational performance and the quality of solution than that based on Hopfield neural networks
作者 张强 王超 许进
机构地区 西安电子科技大学雷达信号处理实验室 华中科技大学控制科学与工程系
出处 《计算机研究与发展》 EI CSCD 北大核心 2003年第2期177-179,共3页 Journal of Computer Research and Development
基金 国家自然科学基金 (699710 18)
关键词 暂态混沌神经网络 组播路由算法 HOPFIELD神经网络 组播通信 启发式算法 计算机网络 multicast routing transient chaotic neural networks Hopfield neural networks
分类号 TP183 [自动化与计算机技术—控制理论与控制工程] TP393 [自动化与计算机技术—计算机应用技术]
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参考文献8

  • 1B Wang, J C Hou. Multicast routing and its QoS extension: Problems, algorithms, and protocols. IEEE Network, 2000, 14(1): 22～36
  • 2R Widyono. The design and evaluation of routing algorithms for real-time channels. University of California at Berkeley, International Computer Science Institute, Tech Rep: ICST TR-94-024, 1994
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  • 8D W Tank, J Hopfield. Simple neural optimization networks: An a/d converter, signal decision circuit, and a linear programming circuit. IEEE Trans on CAS, 1986, 33(5): 533～541

同被引文献65

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引证文献4

二级引证文献14

计算机研究与发展
2003年 第2期

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